Posts by Category

• machine learning 2
• data science 1
• economics 1
• causal inf 1
• statistics 1

machine learning

Bias-Variance-Noise Decomposition

This post is about bias-variance-noise decomposition in modeling.

Naive Bayes Classifier

This post is about Naive Bayes Classifier and the link between Naive Bayes classifier and Logistic Regression.

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data science

Study Thoughts

This post is to share some of my thoughts of systematically studying statistics, causal inference, sql, machine learning, data structure and algorithms. So f...

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economics

Understanding Three Types of Price Discrimination

In this post, I will discuss three common types of price discrimination. Brifely, price discrimination means that some commodity is sold at different prices ...

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causal inf

Casual Inference - Causation vs Association, Randomized Experiments, and Observational Studies

This is a series of study notes of Causal Inference: What If, by Miguel A. Hernán and James M. Robins (2020). The book provides a comprehensive overview of c...

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statistics

Review of Statistics, Probability Theory, and Hypothesis Testing

Statistics is a mathematical science pertaining to the collection, analysis, interpretation or explanation, and presentation of data.

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